Optimal trade-off distance classifier correlation filters (OTDCCFs) for synthetic aperture radar automatic target recognition (SAR ATR)

Daniel W. Carlson; Bhagavatula Vijaya Kumar; Robert R. Mitchell; Michael Hoffelder

doi:10.1117/12.281548

28 July 1997 Optimal trade-off distance classifier correlation filters (OTDCCFs) for synthetic aperture radar automatic target recognition (SAR ATR)

Daniel W. Carlson, Bhagavatula Vijaya Kumar, Robert R. Mitchell, Michael Hoffelder

Author Affiliations +

Proceedings Volume 3070, Algorithms for Synthetic Aperture Radar Imagery IV; (1997) https://doi.org/10.1117/12.281548
Event: AeroSense '97, 1997, Orlando, FL, United States

Abstract

Recent developments in optimal trade-off based composite correlation filter methods have improved the recognition and classification of an object over a range of image distortions. We extend the capability of the distance classifier correlation filter introduced by Mahalanobis et al by using he optimal trade-off between different correlation criteria. These correlation filters can be used for the automatic target cueing or recognition of synthetic aperture radar (SAR) images. In this paper we will present results of designing these distortion-tolerant filters with simulated SAR imagery and testing with simulated SAR target images inserted into real SAR backgrounds.

Citation Download Citation

Daniel W. Carlson, Bhagavatula Vijaya Kumar, Robert R. Mitchell, and Michael Hoffelder "Optimal trade-off distance classifier correlation filters (OTDCCFs) for synthetic aperture radar automatic target recognition (SAR ATR)", Proc. SPIE 3070, Algorithms for Synthetic Aperture Radar Imagery IV, (28 July 1997); https://doi.org/10.1117/12.281548

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